Integration of Random Forest with population-based outlier analyses provides insight on the genomic basis and evolution of run timing in Chinook salmon (Oncorhynchus tshawytscha)

Molecular Ecology

Volumn 24, Issue 11, 2015, Pages 2729-2746

  Brieuc, Marine S O ^a   Ono, Kotaro ^a   Drinan, Daniel P ^a   Naish, Kerry A ^a  

^a UNIVERSITY OF WASHINGTON   (United States)

Author keywords

adaptation; conservation genetics; contemporary evolution; fish; life history evolution; natural selection

Indexed keywords

ONCORHYNCHUS TSHAWYTSCHA;

ADAPTATION; ALGORITHM; ANIMAL; ARTIFICIAL INTELLIGENCE; CHROMOSOME MAP; EVOLUTION; GENE FREQUENCY; GENETICS; PHENOTYPE; POPULATION GENETICS; POPULATION MIGRATION; REPRODUCTION; SALMONINE; UNITED STATES;

ADAPTATION, PHYSIOLOGICAL; ALGORITHMS; ANIMAL MIGRATION; ANIMALS; ARTIFICIAL INTELLIGENCE; BIOLOGICAL EVOLUTION; CHROMOSOME MAPPING; GENE FREQUENCY; GENETICS, POPULATION; PHENOTYPE; REPRODUCTION; SALMON; WASHINGTON;

EID: 84930066502     PISSN: 09621083     EISSN: 1365294X     Source Type: Journal    
DOI: 10.1111/mec.13211     Document Type: Article

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